Abdeltawab, A. M., & Obaidalahe, Z. (2020). The effect of anomalous emotional scenes in children's movies on future revenues. Eurasian Business Review, 10, 475–492.
- Abidi, S. M. R., Xu, Y., Ni, J., Wang, X., & Zhang, W. (2020). Popularity prediction of movies: From statistical modeling to machine learning techniques. Multimedia Tools and Applications, 79, 35583–35617.
Paper not yet in RePEc: Add citation now
- Addis, M., & Holbrook, M. B. (2010). Consumers' identification and beyond: Attraction, reverence, and escapism in the evaluation of films. Psychology & Marketing, 27, 821–845.
Paper not yet in RePEc: Add citation now
- Addis, M., & Holbrook, M. B. (2018). Is movie success a judgment device? When more is not better. Psychology & Marketing, 35, 881–890.
Paper not yet in RePEc: Add citation now
Agnani, B., & Aray, H. (2010). Subsidies and awards in movie production. Applied Economics Letters, 17, 1509–1511.
Agostini, C. A., & Saavedra, E. H. (2011). The effects of vertical integration on the release of new films. Journal of Media Economics, 24, 252–269.
- Aguiar, L., & Waldfogel, J. (2017). Netflix: global hegemon or facilitator of frictionless digital trade? Journal of Cultural Economics, 42(3), 419–445.
Paper not yet in RePEc: Add citation now
Aguiar, L., Claussen, J., & Peukert, C. (2018). Catch me if you can: Effectiveness and consequences of online copyright enforcement. Information Systems Research, 29, 656–678.
- Ahmad, I. S., Bakar, A. A., & Yaakub, M. R. (2020). Movie revenue prediction based on purchase intention mining using YouTube trailer reviews. Information Processing and Management, 57, 102278.
Paper not yet in RePEc: Add citation now
- Ahmed, S., & Sinha, A. (2016). When it pays to wait: Optimizing release timing decisions for secondary channels in the film industry. Journal of Marketing, 80, 20–38.
Paper not yet in RePEc: Add citation now
- Ahmed, U., Waqas, H., & Afzal, M. T. (2020). Pre‐production box‐office success quotient forecasting. Soft Computing, 24, 6635–6653.
Paper not yet in RePEc: Add citation now
- Akdeniz, M. B., & Talay, M. B. (2013). Cultural variations in the use of marketing signals: A multilevel analysis of the motion picture industry. Journal of the Academy of Marketing Science, 41, 601–624.
Paper not yet in RePEc: Add citation now
- Alaveras, G., Gomez‐Herrera, E., & Martens, B. (2018). Cross‐border circulation of films and cultural diversity in the EU. Journal of Cultural Economics, 42, 645–676.
Paper not yet in RePEc: Add citation now
An, Y., An, J., & Cho, S. (2021). Artificial intelligence‐based predictions of movie audiences on opening saturday. International Journal of Forecasting, 37, 274–288.
Antipov, E. A., & Pokryshevskaya, E. B. (2017). Are box office revenues equally unpredictable for all movies? Evidence from a random forest‐based model. Journal of Revenue and Pricing Management, 16, 295–307.
- Antipov, E., & Pokryshevskaya, E. (2011). Accounting for latent classes in movie box office modeling. Journal of Targeting, Measurement and Analysis for Marketing, 19, 3–10.
Paper not yet in RePEc: Add citation now
- Aray, H. (2017). The Spanish movie production, 1940‐2014: From the postwar to nowadays. Regional and Sectoral Economic Studies, 17, 23–38.
Paper not yet in RePEc: Add citation now
Aray, H. (2021). Oscar awards and foreign language film production: Evidence for a panel of countries. Journal of Cultural Economics, 45, 435–457.
Arteaga, J. C., Coronado, D., & Flores, D. (2019). On the pricing of quality attributes at movie theaters. Journal of Media Economics, 32, 1–16.
- Asai, S. (2016). Determinants of demand and price for best‐selling novels in paperback in Japan. Journal of Cultural Economics, 40, 375–392.
Paper not yet in RePEc: Add citation now
Axarlian, G. P. (2017). The introduction of infinite durability to an information good and the decision to buy or rent: Evidence from the film industry. Journal of Media Economics, 30, 121–142.
Babutsidze, Z., & Valente, M. (2019). A trick of the tail: The role of social networks in shaping distributional properties of experience‐good markets. Industrial and Corporate Change, 28, 459–475.
Bae, G., & jin Kim, H. (2019). The impact of movie titles on box office success. Journal of Business Research, 103, 100–109.
- Baek, H., Oh, S., Yang, H. D., & Ahn, J. H. (2017). Electronic word‐of‐mouth, box office revenue and social media. Electronic Commerce Research and Applications, 22, 13–23.
Paper not yet in RePEc: Add citation now
Bai, J., & Waldfogel, J. (2012). Movie piracy and sales displacement in two samples of Chinese consumers. Information Economics and Policy, 24, 187–196.
Bakker, G. (2012). How motion pictures industrialized entertainment. The Journal of Economic History, 72, 1036–1063.
- Balaganesh, N., & Bhuvaneswari, M. S. (2019). Movie success rate prediction using robust classifier. International Journal of Engineering and Advanced Technology, 8, 3517–3522.
Paper not yet in RePEc: Add citation now
- Baranchuk, N., Seetharaman, S., & Strijnev, A. (2020). Revenue sharing vertical contracts in the movie industry: A theoretical analysis. Review of Marketing Science, 17, 81–116.
Paper not yet in RePEc: Add citation now
Baranowski, P., Korczak, K., & Zajac, J. (2020). Forecasting cinema attendance at the movie show level: Evidence from Poland. Business Systems Research Journal, 11, 73–88.
- Barbosu, S. (2017). Big data on the big screen: Revealing latent coherence among movies and its effect on box office. Academy of Management Proceedings, 2017, 15719.
Paper not yet in RePEc: Add citation now
Barnett, S. B., & Cerf, M. (2017). A ticket for your thoughts: Method for predicting content recall and sales using neural similarity of moviegoers. Journal of Consumer Research, 44, 160–181.
Barron, D., Gibbons, R., Gil, R., & Murphy, K. J. (2020). Relational adaptation under reel authority. Management Science, 66(5), 1868–1889.
- Basuroy, S., Chatterjee, S., & Ravid, S. A. (2003). How critical are critical reviews? The box office effects of film critics, star power, and budgets. Journal of Marketing, 67, 103–117.
Paper not yet in RePEc: Add citation now
Basuroy, S., Ravid, S. A., Gretz, R. T., & Allen, B. J. (2020). Is everybody an expert? An investigation into the impact of professional versus user reviews on movie revenues. Journal of Cultural Economics, 44, 57–96.
- Beckwith, D. C. (2009). Values of protagonists in best pictures and blockbusters: Implications for marketing. Psychology and Marketing, 26, 445–469.
Paper not yet in RePEc: Add citation now
Behrens, R., Foutz, N. Z., Franklin, M., Funk, J., Gutierrez‐Navratil, F., Hofmann, J., & Leibfried, U. (2021). Leveraging analytics to produce compelling and profitable film content. Journal of Cultural Economics, 45(2), 171–211.
Belleflamme, P., & Paolini, D. (2019). Strategic attractiveness and release decisions for cultural goods. Journal of Economics and Management Strategy, 28, 198–224.
Belo, R., Ferreira, P., Godinho de Matos, M., & Reis, F. (2019). The impact of time shifting on TV consumption and ad viewership. Management Science, 65, 3216–3234.
- Benner, M. J., & Waldfogel, J. (2020). Changing the channel: Digitization and the rise of “middle tail” strategies. Strategic Management Journal, https://doi.org/10.1002/smj.3130.
Paper not yet in RePEc: Add citation now
- Bharadwaj, N., Noble, C. H., Tower, A., Smith, L. M., & Dong, Y. (2017). Predicting innovation success in the motion picture industry: The influence of multiple quality signals. Journal of Product Innovation Management, 34, 659–680.
Paper not yet in RePEc: Add citation now
Bi, G., & Giles, D. E. (2009). Modelling the financial risk associated with U.S. movie box office earnings. Mathematics and Computers in Simulation, 79, 2759–2766.
- Bialecki, M., O'Leary, S., & Smith, D. (2017). Judgement devices and the evaluation of singularities: The use of performance ratings and narrative information to guide film viewer choice. Management Accounting Research, 35, 56–65.
Paper not yet in RePEc: Add citation now
- Bohme, E., & Muller, C. (2011). Searching for the concentration‐price effect in the German movie theater industry. Jahrbucher fur Nationalokonomie und Statistik, 231, 479–493.
Paper not yet in RePEc: Add citation now
Bohnenkamp, B., Knapp, A. K., Hennig‐Thurau, T., & Schauerte, R. (2015). When does it make sense to do it again? An empirical investigation of contingency factors of movie remakes. Journal of Cultural Economics, 39, 15–41.
- Boksem, M. A., & Smidts, A. (2015). Brain responses to movie trailers predict individual preferences for movies and their population‐wide commercial success. Journal of Marketing Research, 52, 482–492.
Paper not yet in RePEc: Add citation now
Brewer, S. M., Kelley, J. M., & Jozefowicz, J. J. (2009). A blueprint for success in the US film industry. Applied Economics, 41, 589–606.
- Broekhuizen, T. L., Delre, S. A., & Torres, A. (2011). Simulating the cinema market: How cross‐cultural differences in social influence explain box office distributions. Journal of Product Innovation Management, 28, 204–217.
Paper not yet in RePEc: Add citation now
Brown, A. L., Camerer, C. F., & Lovallo, D. (2012). To review or not to review? Limited strategic thinking at the movie box office. American Economic Journal: Microeconomics, 4, 1–26.
Brown, A. L., Camerer, C. F., & Lovallo, D. (2013). Estimating structural models of equilibrium and cognitive hierarchy thinking in the field: The case of withheld movie critic reviews. Management Science, 59, 733–747.
- Bruce, N. I., Foutz, N. Z., & Kolsarici, C. (2012). Dynamic effectiveness of advertising and word of mouth in sequential distribution of new products. Journal of Marketing Research, 49, 469–486.
Paper not yet in RePEc: Add citation now
- Budeva, D. (2010). Cross‐cultural differences in evaluating product characteristics: motion pictures. Management Research Review, 33, 2040–8269.
Paper not yet in RePEc: Add citation now
Cabral, L. (2019). Some economics of the movie industry. Japanese Economic Review, 70, 298–307.
- Cabral, L., & Natividad, G. (2016a). Box‐office demand: The importance of being #1. Journal of Industrial Economics, 64, 277–294.
Paper not yet in RePEc: Add citation now
- Cabral, L., & Natividad, G. (2016b). Cross‐selling in the US home video industry. The RAND Journal of Economics, 47, 29–47.
Paper not yet in RePEc: Add citation now
Cabral, L., & Natividad, G. (2020). Movie release strategy: Theory and evidence from international distribution. Journal of Economics and Management Strategy, 29, 276–288.
Cadario, R. (2015). The impact of online word‐of‐mouth on television show viewership: An inverted u‐shaped temporal dynamic. Marketing Letters, 26, 411–422.
- Calantone, R. J., Yeniyurt, S., Townsend, J. D., & Schmidt, J. B. (2010). The effects of competition in short product life‐cycle markets: The case of motion pictures. Journal of Product Innovation Management, 27, 349–361.
Paper not yet in RePEc: Add citation now
- Cameron, S. (1986). The supply and demand for cinema tickets: Some UK evidence. Journal of Cultural Economics, 10(1), 38–62.
Paper not yet in RePEc: Add citation now
- Cameron, S. (1990). The demand for cinema in the United Kingdom. Journal of Cultural Economics, 14, 35–47.
Paper not yet in RePEc: Add citation now
Cameron, S. (1999). Rational addiction and the demand for cinema. Applied Economics Letters, 6(9), 617–620.
Carrillat, F. A., Legoux, R., & Hadida, A. L. (2018). Debates and assumptions about motion picture performance: A meta‐analysis. Journal of the Academy of Marketing Science, 46, 273–299.
- Carroll Harris, L. (2018). Film distribution as policy: Current standards and alternatives. International Journal of Cultural Policy, 24, 236–255.
Paper not yet in RePEc: Add citation now
Cartier, M., & Liarte, S. (2012). Impact of underlying demand and agglomeration of supply on seasonality: The case of the Hollywood film industry. International Journal of Arts Management, 14, 17–30.
- Cattani, G., Ferriani, S., Mariani, M. M., & Mengoli, S. (2013). Tackling the “galácticos” effect: Team familiarity and the performance of star‐studded projects. Industrial and Corporate Change, 22, 1629–1662.
Paper not yet in RePEc: Add citation now
Chakravarty, A., Liu, Y., & Mazumdar, T. (2010). The differential effects of online word‐of‐mouth and critics' reviews on pre‐release movie evaluation. Journal of Interactive Marketing, 24, 185–197.
- Chan, J. H., Ko, A. C., Au, A. K., & Yeung, M. C. (2018). A relational perspective on pure project performance. Management Research Review, 41, 753–772.
Paper not yet in RePEc: Add citation now
Chang, B.‐H., Nam, S.‐H., Chan‐Olmsted, S. M., & Kim, H. (2016). Repeat consumption of media goods: Examining factors affecting repeat theatrical viewing of movies. Journal of Media Economics, 29, 167–180.
- Chen, C.‐P. (2009). A puzzle or a choice: Uniform pricing for motion pictures at the box office. Atlantic Economic Journal, 37, 73–85.
Paper not yet in RePEc: Add citation now
- Chen, R., Xu, W., & Zhang, X. (2016). Dynamic box office forecasting based on microblog data. Filomat, 30, 4111–4124.
Paper not yet in RePEc: Add citation now
Chen, X., Chen, Y., & Weinberg, C. B. (2013). Learning about movies: The impact of movie release types on the nationwide box office. Journal of Cultural Economics, 37, 359–386.
- Chen, Y., Liu, Y., & Zhang, J. (2012). When do third‐party product reviews affect firm value and what can firms do? The case of media critics and professional movie reviews. Journal of Marketing, 76, 116–134.
Paper not yet in RePEc: Add citation now
Chintagunta, P. K., Gopinath, S., & Venkataraman, S. (2010). The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Science, 29, 944–957.
- Chisholm, D. C. (2013). Motion pictures, economics of. In R. Towse (Ed.), Handbook of cultural economics (2nd ed.). Edwarard Elgar.
Paper not yet in RePEc: Add citation now
- Chisholm, D. C., & Liu, Y.‐H. (2018). Motion pictures. In R. Towse & T. Navarrete Hernández (Eds.), Handbook of cultural economics (3rd ed.). Edwarard Elgar.
Paper not yet in RePEc: Add citation now
Chisholm, D. C., & Norman, G. (2012). Spatial competition and market share: An application to motion pictures. Journal of Cultural Economics, 36, 207–225.
Chisholm, D. C., Fernández‐Blanco, V., Ravid, S. A., & Walls, W. D. (2015). Economics of motion pictures: The state of the art. Journal of Cultural Economics, 39, 1–13.
- Chisholm, D. C., McMillan, M. S., & Norman, G. (2010). Product differentiation and film‐programming choice: Do first‐run movie theatres show the same films? Journal of Cultural Economics, 34, 131–145.
Paper not yet in RePEc: Add citation now
- Chiu, Y.‐L., Chen, K.‐H., Wang, J.‐N., & Hsu, Y.‐T. (2019). The impact of online movie word‐of‐mouth on consumer choice a comparison of American and Chinese consumers. International Marketing Review, 36, 996–1025.
Paper not yet in RePEc: Add citation now
- Choi, C., Jeong, M., & Mattila, A. S. (2015). Revenue management in the context of movie theaters: Is it fair? Journal of Revenue and Pricing Management, 14, 72–83.
Paper not yet in RePEc: Add citation now
- Christoforou, C., Papadopoulos, T. C., Constantinidou, F., & Theodorou, M. (2017). Your brain on the movies: A computational approach for predicting box‐office performance from viewer's brain responses to movie trailers. Frontiers in Neuroinformatics, 11, 72.
Paper not yet in RePEc: Add citation now
- Christopherson, S., & Rightor, N. (2010). The creative economy as “big business”: Evaluating state strategies to lure filmmakers. Journal of Planning Education and Research, 29, 336–352.
Paper not yet in RePEc: Add citation now
- Chung, C., Niu, S.‐C., & Sriskandarajah, C. (2012). A sales forecast model for short‐life‐cycle products: New releases at Blockbuster. Production and Operations Management, 21, 851–873.
Paper not yet in RePEc: Add citation now
Chung, H. S., Kim, M., & Yi, G. (2018). Screening decisions of vertically integrated theaters in the Korean movie industry. Economics Letters, 170, 6–9.
- Chuu, S. L. H., Chang, J. C., & Zaichkowsky, J. L. (2009). Exploring art film audiences: A marketing analysis. Journal of Promotion Management, 15, 212–228.
Paper not yet in RePEc: Add citation now
Clement, M., Otten, C., Seifert, R., Kleinen, O., Houston, M. B., Karniouchina, E. V., & Heller, C. (2018). IDEA FORUM: The impact of subscription‐based video on demand on traditional distributors' value chains and business models. Journal of Media Economics, 31, 50–67.
Clement, M., Wu, S., & Fischer, M. (2014). Empirical generalizations of demand and supply dynamics for movies. International Journal of Research in Marketing, 31, 207–223.
- Collins, A., & Snowball, J. (2015). Transformation, job creation and subsidies to creative industries: The case of South Africa's film and television sector. International Journal of Cultural Policy, 21, 41–59.
Paper not yet in RePEc: Add citation now
Collins, A., Fernandez‐Blanco, V., & Prieto‐Rodriguez, J. (2009a). Characteristics of buyers and renters of cultural goods: The case of movies. Applied Economics, 41, 195–210.
- Collins, A., Ishizaka, A., & Snowball, J. (2019). Film production incentives, employment transformation and domestic expenditure in South Africa: Visualizing subsidy effectiveness. International Journal of Cultural Policy, 25, 204–217.
Paper not yet in RePEc: Add citation now
Collins, A., Scorcu, A. E., & Zanola, R. (2009b). Distribution conventionality in the movie sector: An econometric analysis of cinema supply. Journal of Organizational Behavior, 30, 517–527.
Corts, K. S. (2001). The strategic effects of vertical market structure: Common agency and divisionalization in the US motion picture industry. Journal of Economics & Management Strategy, 10(4), 509–528.
Court, D., Gillen, B., McKenzie, J., & Plott, C. R. (2018). Two information aggregation mechanisms for predicting the opening weekend box office revenues of films: Boxoffice prophecy and guess of guesses. Economic Theory, 65, 25–54.
Courty, P., & Nasiry, J. (2018). Loss aversion and the uniform pricing puzzle for media and entertainment products. Economic Theory, 66, 105–140.
Cox, J., & Collins, A. (2014). Sailing in the same ship? Differences in factors motivating piracy of music and movie content. Journal of Behavioral and Experimental Economics, 50, 70–76.
Crawford, G. S., & Yurukoglu, A. (2012). The welfare effects of bundling in multichannel television markets. American Economic Review, 102, 643–85.
Crawford, G. S., Lee, R. S., Whinston, M. D., & Yurukoglu, A. (2018). The welfare effects of vertical integration in multichannel television markets. Econometrica, 86, 891–954.
Dahl, G., & Dellavigna, S. (2009). Does movie violence increase violent crime? Quarterly Journal of Economics, 124, 677–734.
Dalton, J. T., & Leung, T. C. (2017). Strategic decision‐making in Hollywood release gaps. Journal of International Economics, 105, 10–21.
- Danaher, B., & Smith, M. D. (2014). Gone in 60s: The impact of the Megaupload shutdown on movie sales. International Journal of Industrial Organization, 33, 1–8.
Paper not yet in RePEc: Add citation now
Danaher, P. J., Dagger, T. S., & Smith, M. S. (2011). Forecasting television ratings. International Journal of Forecasting, 27, 1215–1240.
Dastidar, S. G., & Elliott, C. (2020). The indian film industry in a changing international market. Journal of Cultural Economics, 44(1), 97–116.
- Dawande, M., Drobouchevitch, I., Rajapakshe, T., & Sriskandarajah, C. (2010). Analysis of revenue maximization under two movie‐screening policies. Production and Operations Management, 19, 111–124.
Paper not yet in RePEc: Add citation now
- De Pater, I. E., Judge, T. A., & Scott, B. A. (2014). Age, gender, and compensation. Journal of Management Inquiry, 23, 407–420.
Paper not yet in RePEc: Add citation now
De Roos, N., & McKenzie, J. (2014). Cheap Tuesdays and the demand for cinema. International Journal of Industrial Organization, 33, 93–109.
- De Vany, A. (2003). Hollywood economics: How extreme uncertainty shapes the film industry. Routledge.
Paper not yet in RePEc: Add citation now
- De Vany, A., & Walls, W. D. (1996). Bose‐Einstein dynamics and adaptive contracting in the motion picture industry. Economic Journal, 106, 1493–1514.
Paper not yet in RePEc: Add citation now
De Vany, A., & Walls, W. D. (1999). Uncertainty in the movie industry: Does star power reduce the terror of the box office? Journal of Cultural Economics, 23, 285–318.
De Vany, A., & Walls, W. D. (2002). Does Hollywood make too many R‐rated movies? Risk, stochastic dominance, and the illusion of expectation. Journal of Business, 75, 425–451.
Del Vecchio, M., Kharlamov, A., Parry, G., & Pogrebna, G. (2021). Improving productivity in Hollywood with data science: Using emotional arcs of movies to drive product and service innovation in entertainment industries. Journal of the Operational Research Society, 72, 1110–1137.
- Delen, D., & Sharda, R. (2010). Predicting the financial success of Hollywood movies using an information fusion approach. Endüstri Mühendisligi Dergisi, 21, 30–37.
Paper not yet in RePEc: Add citation now
Dellavigna, S., & Hermle, J. (2017). Does conflict of interest lead to biased coverage? Evidence from movie reviews. Review of Economic Studies, 84, 1510–1550.
- Delre, S. A., Broekhuizen, T. L., & Bijmolt, T. H. (2016). The effects of shared consumption on product life cycles and advertising effectiveness: The case of the motion picture market. Journal of Marketing Research, 53, 608–627.
Paper not yet in RePEc: Add citation now
Delre, S. A., Panico, C., & Wierenga, B. (2017). Competitive strategies in the motion picture industry: An ABM to study investment decisions. International Journal of Research in Marketing, 34, 69–99.
- Deng, Y., & Mela, C. F. (2018). TV viewing and advertising targeting. Journal of Marketing Research, 55, 99–118.
Paper not yet in RePEc: Add citation now
- Derrick, F. W., Williams, N. A., & Scott, C. E. (2014). A two‐stage proxy variable approach to estimating movie box office receipts. Journal of Cultural Economics, 38, 173–189.
Paper not yet in RePEc: Add citation now
- Dewani, P. P., Malhan, M., & Mathur, S. (2021). Box office collection of sequel movies: Exploring brand extension effect. Journal for Global Business Advancement, 14, 288–311.
Paper not yet in RePEc: Add citation now
Dhar, T., & Weinberg, C. B. (2016). Measurement of interactions in non‐linear marketing models: The effect of critics' ratings and consumer sentiment on movie demand. International Journal of Research in Marketing, 33, 392–408.
- Dhar, T., Sun, G., & Weinberg, C. B. (2012). The long‐term box office performance of sequel movies. Marketing Letters, 23, 13–29.
Paper not yet in RePEc: Add citation now
- Ding, C., Cheng, H. K., Duan, Y., & Jin, Y. (2017). The power of the “like” button: The impact of social media on box office. Decision Support Systems, 94, 77–84.
Paper not yet in RePEc: Add citation now
Divakaran, P. K. P., Palmer, A., Søndergaard, H. A., & Matkovskyy, R. (2017). Pre‐launch prediction of market performance for short lifecycle products using online community data. Journal of Interactive Marketing, 38, 12–28.
- Dogruel, L. (2018). Cross‐cultural differences in movie selection. decision‐making of German, U.S., and Singaporean media users for video‐on‐demand movies. Journal of International Consumer Marketing, 30, 115–127.
Paper not yet in RePEc: Add citation now
- Doshi, L., Krauss, J., Nann, S., & Gloor, P. (2010). Predicting movie prices through dynamic social network analysis. Procedia—Social and Behavioral Sciences, 2, 6423–6433.
Paper not yet in RePEc: Add citation now
- Du, J., Xu, H., & Huang, X. (2014). Box office prediction based on microblog. Expert Systems with Applications, 41, 1680–1689.
Paper not yet in RePEc: Add citation now
Durand, R., & Hadida, A. L. (2016). Logic combination and performance across occupational communities: The case of French film directors. Journal of Business Research, 69, 2371–2379.
- Ebbers, J. J., & Wijnberg, N. M. (2009). Latent organizations in the film industry: Contracts, rewards and resources. Human Relations, 62, 987–1009.
Paper not yet in RePEc: Add citation now
Ebbers, J. J., & Wijnberg, N. M. (2012). The effects of having more than one good reputation on distributor investments in the film industry. Journal of Cultural Economics, 36, 227–248.
- Edwards, D. A., Buckmire, R., & Ortega‐Gingrich, J. (2014). A mathematical model of cinematic box‐office dynamics with geographic effects. IMA Journal of Management Mathematics, 25, 233–257.
Paper not yet in RePEc: Add citation now
Einav, L. (2007). Seasonality in the US motion picture industry. The RAND Journal of Economics, 38(1), 127–145.
Einav, L. (2010). Not all rivals look alike: Estimating an equilibrium model of the release date timing game. Economic Inquiry, 48, 369–390.
Einav, L., & Ravid, S. A. (2009). Stock market response to changes in movies' opening dates. Journal of Cultural Economics, 33, 311–319.
- Elberse, A. (2007). The power of stars: Do star actors drive the success of movies? Journal of Marketing, 71(4), 102–120.
Paper not yet in RePEc: Add citation now
- Elberse, A. (2013). Blockbusters: Hit‐making, risk‐taking, and the big business of entertainment. Macmillan.
Paper not yet in RePEc: Add citation now
Elberse, A., & Eliashberg, J. (2003). Demand and supply dynamics for sequentially released products in international markets: The case of motion pictures. Marketing Science, 22(3), 329–354.
- Eliashberg, J., & Shugan, S. M. (1997). Film critics: Influencers or predictors? Journal of Marketing, 61, 68–78.
Paper not yet in RePEc: Add citation now
Eliashberg, J., Hegie, Q., Ho, J., Huisman, D., Miller, S. J., Swami, S., Weinberg, C. B., & Wierenga, B. (2009). Demand‐driven scheduling of movies in a multiplex. International Journal of Research in Marketing, 26, 75–88.
- Eliashberg, J., Hui, S. K., & Zhang, Z. J. (2014). Assessing box office performance using movie scripts: A kernel‐based approach. IEEE Transactions on Knowledge and Data Engineering, 26, 2639–2648.
Paper not yet in RePEc: Add citation now
- Eliashberg, J., Swami, S., Weinberg, C. B., & Wierenga, B. (2009). Evolutionary approach to the development of decision support systems in the movie industry. Decision Support Systems, 47, 1–12.
Paper not yet in RePEc: Add citation now
Elizalde, J. (2013). Competition in multiple characteristics: An empirical test of location equilibrium. Regional Science and Urban Economics, 43, 938–950.
- Elliott, C., Konara, P., Ling, H., Wang, C., & Wei, Y. (2018). Behind film performance in China's changing institutional context: The impact of signals. Asia Pacific Journal of Management, 35, 63–95.
Paper not yet in RePEc: Add citation now
- Epstein, E. J. (2012). The Hollywood economist: Release 2.0: The hidden financial reality behind the movies. Melville House.
Paper not yet in RePEc: Add citation now
Esberg, J. (2020). Censorship as reward: Evidence from pop culture censorship in chile. American Political Science Review, 114, 821–836.
- Esteves‐Sorenson, C., & Perretti, F. (2012). Micro‐costs: Inertia in television viewing. Economic Journal, 122, 867–902.
Paper not yet in RePEc: Add citation now
Fee, C. E. (2002). The costs of outside equity control: Evidence from motion picture financing decisions. The Journal of Business, 75(4), 681–711.
Feng, F., & Sharma, R. (2016). Modeling the main determinants of movie sales: An econometric study of Chinese marketplace. Journal of Reviews on Global Economics, 5, 190–209.
Feng, G. C. (2017). The dynamics of the Chinese film industry: Factors affecting Chinese audiences' intentions to see movies. Asia Pacific Business Review, 23, 658–676.
- Feng, G. C. (2019). A comparative study of the online film ratings of US and Chinese audiences: An analytical approach based on big data. International Communication Gazette, 81, 283–302.
Paper not yet in RePEc: Add citation now
Fernández‐Blanco, V., & Gil, R. (2012). Underneath the red carpet: Government intervention in the Spanish movie industry. Journal of Media Economics, 25, 54–72.
- Fernandez‐Blanco, V., Ginsburgh, V., Prieto‐Rodriguez, J., & Weyers, S. (2013a). As good as it gets? Blockbusters and the inequality of box office results since 1950. In The social science of cinema (pp. 269–285). Oxford University Press.
Paper not yet in RePEc: Add citation now
Fernandez‐Blanco, V., Orea, L., & Prieto‐Rodriguez, J. (2013). Endogeneity and measurement errors when estimating demand functions with average prices: An example from the movie market. Empirical Economics, 44, 1477–1496.
- Fetscherin, M. (2010). The main determinants of Bollywood movie box office sales. Journal of Global Marketing, 23, 461–476.
Paper not yet in RePEc: Add citation now
Filson, D., & Havlicek, J. H. (2018). The performance of global film franchises: Installment effects and extension decisions. Journal of Cultural Economics, 42, 447–467.
Filson, D., Switzer, D., & Besocke, P. (2005). At the movies: The economics of exhibition contracts. Economic Inquiry, 43(2), 354–369.
Fleck, R. K., & Hanssen, F. A. (2016). Persistence and change in age‐specific gender gaps: Hollywood actors from the silent era onward. International Review of Law and Economics, 48, 36–49.
Fossen, B. L., & Schweidel, D. A. (2017). Television advertising and online word‐of‐mouth: An empirical investigation of social TV activity. Marketing Science, 36, 105–123.
Fossen, B. L., & Schweidel, D. A. (2019). Measuring the impact of product placement with brand‐related social media conversations and website traffic. Marketing Science, 38, 481–499.
Foutz, N. Z. (2017). Entertainment marketing. Now Publishers.
Foutz, N. Z., & Jank, W. (2010). Prerelease demand forecasting for motion pictures using functional shape analysis of virtual stock markets. Marketing Science, 29, 568–579.
Fowdur, L., Kadiyali, V., & Prince, J. (2012). Racial bias in expert quality assessment: A study of newspaper movie reviews. Journal of Economic Behavior and Organization, 84, 292–307.
- Fox, M. A. (2017). Double features and exhibition programming choices by drive‐in movie theatres. Economics, Management, and Financial Markets, 12, 11–24.
Paper not yet in RePEc: Add citation now
Fu, S., Yan, Q., & Feng, G. C. (2018). Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context. International Journal of Information Management, 40, 88–102.
Fu, W. W. (2009). Screen survival of movies at competitive theaters: Vertical and horizontal integration in a spatially differentiated market. Journal of Media Economics, 22, 59–80.
- Fu, W. W., & Govindaraju, A. (2010). Explaining global box‐office tastes in Hollywood films: Homogenization of national audiences' movie selections. Communication Research, 37, 215–238.
Paper not yet in RePEc: Add citation now
- Fu, W. W., & Sim, C. (2010). Examining international country‐to‐country flow of theatrical films. Journal of Communication, 60, 120–143.
Paper not yet in RePEc: Add citation now
Fu, W. W., & Sim, C. C. (2011). Aggregate bandwagon effect on online videos' viewership: Value uncertainty, popularity cues, and heuristics. Journal of the American Society for Information Science and Technology, 62, 2382–2395.
Gaenssle, S., Budzinski, O., & Astakhova, D. (2018). Conquering the box office: Factors influencing success of international movies in Russia. Review of Network Economics, 17, 245–266.
- Gaikar, D. D., Marakarkandy, B., & Dasgupta, C. (2015). Using Twitter data to predict the performance of Bollywood movies. Industrial Management and Data Systems, 115, 1604–1621.
Paper not yet in RePEc: Add citation now
- Gao, W., Ji, L., Liu, Y., & Sun, Q. (2020). Branding cultural products in international markets: A study of Hollywood movies in china. Journal of Marketing, 84, 86–105.
Paper not yet in RePEc: Add citation now
Garcia‐del‐Barrio, P., & Zarco, H. (2017). Do movie contents influence box‐office revenues? Applied Economics, 49, 1679–1688.
Gazley, A., Clark, G., & Sinha, A. (2011). Understanding preferences for motion pictures. Journal of Business Research, 64, 854–861.
- Gelper, S., Peres, R., & Eliashberg, J. (2018). Talk bursts: The role of spikes in prerelease word‐of‐mouth dynamics. Journal of Marketing Research, 55, 801–817.
Paper not yet in RePEc: Add citation now
Gemser, G., Leenders, M. A., & Weinberg, C. B. (2012). More effective assessment of market performance in later stages of the product development process: The case of the motion picture industry. Marketing Letters, 23, 1019–1031.
- Ghiassi, M., Lio, D., & Moon, B. (2015). Pre‐production forecasting of movie revenues with a dynamic artificial neural network. Expert Systems with Applications, 42, 3176–3193.
Paper not yet in RePEc: Add citation now
Gil, R. (2009). Revenue sharing distortions and vertical integration in the movie industry. Journal of Law, Economics, and Organization, 25, 579–610.
Gil, R. (2010). An empirical investigation of the Paramount antitrust case. Applied Economics, 42, 171–183.
Gil, R. (2013). The interplay of formal and relational contracts: Evidence from movies. Journal of Law, Economics, and Organization, 29, 681–710.
Gil, R. (2015). Does vertical integration decrease prices? Evidence from the Paramount antitrust case of 1948. American Economic Journal: Economic Policy, 7, 162–191.
Gil, R., & Gutierrez‐Navratil, F. (2017). Does television entry decrease the number of movie theaters? Economic Inquiry, 55, 736–756.
Gil, R., & Hartmann, W. R. (2009). Empirical analysis of metering price discrimination: Evidence from concession sales at movie theaters. Marketing Science, 28, 1046–1062.
Gil, R., & Lafontaine, F. (2012). Using revenue sharing to implement flexible prices: Evidence from movie exhibition contracts. Journal of Industrial Economics, 60, 187–219.
Gil, R., & Lampe, R. (2014). The adoption of new technologies: Understanding Hollywood's (slow and uneven) conversion to color. Journal of Economic History, 74, 987–1014.
Gil, R., & Marion, J. (2018). Residential segregation, discrimination, and African‐American theater entry during jim crow. Journal of Urban Economics, 108, 18–35.
Gilchrist, D. S., & Sands, E. G. (2016). Something to talk about: Social spillovers in movie consumption. Journal of Political Economy, 124, 1339–1382.
Glasgow, G., & Butler, S. (2017). The value of non‐personally identifiable information to consumers of online services: Evidence from a discrete choice experiment. Applied Economics Letters, 24, 392–395.
- Godinho de Matos, M., & Ferreira, P. (2020). The effect of binge‐watching on the subscription of video on demand: Results from randomized experiments. Information Systems Research, 31(4), 1337–1360.
Paper not yet in RePEc: Add citation now
Godinho de Matos, M., Ferreira, P., & Smith, M. D. (2018). The effect of subscription video‐on‐demand on piracy: Evidence from a household‐level randomized experiment. Management Science, 64, 5610–5630.
Goettler, R. L., & Leslie, P. (2005). Cofinancing to manage risk in the motion picture industry. Journal of Economics & Management Strategy, 14(2), 231–261.
Goetzmann, W. N., Ravid, S. A., & Sverdlove, R. (2013). The pricing of soft and hard information: Economic lessons from screenplay sales. Journal of Cultural Economics, 37, 271–307.
- Goff, B., Wilson, D., & Zimmer, D. (2014). Why do movie studios produce R‐rated films? Applied Economics and Finance, 2, 33–43.
Paper not yet in RePEc: Add citation now
Goff, Inglis K., & Zolfaghari, S. (2017). A review of scheduling problems and research opportunities in motion picture exhibition. INFORMS Journal on Applied Analytics, 47, 175–187.
Gong, J. J., der Stede, W. A. V., & Young, S. M. (2011). Real options in the motion picture industry: Evidence from film marketing and sequels. Contemporary Accounting Research, 28, 1438–1466.
- Gong, S., Zhang, J., Zhao, P., & Jiang, X. (2017). Tweeting as a marketing tool: A field experiment in the TV industry. Journal of Marketing Research, 54, 833–850.
Paper not yet in RePEc: Add citation now
- Gopinath, S., Chintagunta, P. K., & Venkataraman, S. (2013). Blogs, advertising, and local‐market movie box office performance. Management Science, 59, 2635–2654.
Paper not yet in RePEc: Add citation now
- Griffith, D. A., Yalcinkaya, G., Rubera, G., & Giannetti, V. (2017). Understanding the importance of the length of global product rollout: An examination in the motion picture industry. Journal of International Marketing, 25, 50–69.
Paper not yet in RePEc: Add citation now
- Grugulis, I., & Stoyanova, D. (2012). Social capital and networks in film and TV: Jobs for the boys? Organization Studies, 33, 1311–1331.
Paper not yet in RePEc: Add citation now
- Gunter, B. (2018). Predicting movie success at the box office. Springer International Publishing.
Paper not yet in RePEc: Add citation now
Gutierrez‐Navratil, F., Fernandez‐Blanco, V., Orea, L., & Prieto‐Rodriguez, J. (2014). How do your rivals' releasing dates affect your box office? Journal of Cultural Economics, 38, 71–84.
- Hadida, A. L. (2009). Motion picture performance: A review and research agenda. International Journal of Management Reviews, 11, 297–335.
Paper not yet in RePEc: Add citation now
Hadida, A. L. (2010). Commercial success and artistic recognition of motion picture projects. Journal of Cultural Economics, 34, 45–80.
- Hadida, A. L. (2013). Institutions, assets combinations, and film performance: A U.S.–French comparison. Psychology of Aesthetics, Creativity, and the Arts, 7, 155–170.
Paper not yet in RePEc: Add citation now
Hadida, A. L., Lampel, J., Walls, W. D., & Joshi, A. (2021). Hollywood studio filmmaking in the age of Netflix: A tale of two institutional logics. Journal of Cultural Economics, 45, 213–238.
Han, S., & Ravid, S. A. (2020). Star turnover and the value of human capital‐evidence from broadway shows. Management Science, 66, 958–978.
Hand, C., & Judge, G. (2011). How stable is the seasonal pattern in cinema admissions? Evidence from the UK. Applied Economics Letters, 18, 81–85.
Hand, C., & Judge, G. (2012). Searching for the picture: Forecasting UK cinema admissions using Google trends data. Applied Economics Letters, 19, 1051–1055.
Hanson, G., & Xiang, C. (2011). Trade barriers and trade flows with product heterogeneity: An application to us motion picture exports. Journal of International Economics, 83, 14–26.
Hanssen, F. A. (2010). Vertical integration during the Hollywood studio era. Journal of Law and Economics, 53, 519–543.
- Hanssen, F. A. (2019). ‘What's wrong with the way I talk?’ The effect of sound motion pictures on actor careers. Economic Inquiry, 58, 474–495.
Paper not yet in RePEc: Add citation now
Hardy, W. (2022). Brace yourselves, pirates are coming! The effects of Game of Thrones leak on TV viewership. Journal of Cultural Economics, 46, 27–55.
Harris, M., Ravid, S. A., Sverdlove, R., & Basuroy, S. (2017). Intellectual property contracts: Theory and evidence from screenplay sales. Journal of Law, Finance, and Accounting, 2, 275–323.
- Hashim, M. J., Ram, S., & Tang, Z. (2019). Uncovering the effects of digital movie format availability on physical movie sales. Decision Support Systems, 117, 75–86.
Paper not yet in RePEc: Add citation now
Hellmanzik, C., & Schmitz, M. (2015). Virtual proximity and audiovisual services trade. European Economic Review, 77, 82–101.
Hennig‐Thurau, T., & Houston, M. B. (2019). Entertainment science. Springer International Publishing.
- Hennig‐Thurau, T., Fuchs, S., & Houston, M. (2013). What's a movie worth? Determining the monetary value of motion pictures' TV rights. International Journal of Arts Management, 14, 4–20.
Paper not yet in RePEc: Add citation now
- Hennig‐Thurau, T., Henning, V., & Sattler, H. (2007). Consumer file sharing of motion pictures. Journal of Marketing, 71(4), 1–18.
Paper not yet in RePEc: Add citation now
- Hennig‐Thurau, T., Henning, V., Sattler, H., Eggers, F., & Houston, M. B. (2007). The last picture show? Timing and order of movie distribution channels. Journal of Marketing, 71(4), 63–83.
Paper not yet in RePEc: Add citation now
- Hennig‐Thurau, T., Houston, M. B., & Heitjans, T. (2009). Conceptualizing and measuring the monetary value of brand extensions: The case of motion pictures. Journal of Marketing, 73, 167–183.
Paper not yet in RePEc: Add citation now
Hennig‐Thurau, T., Marchand, A., & Hiller, B. (2012). The relationship between reviewer judgments and motion picture success: Re‐analysis and extension. Journal of Cultural Economics, 36, 249–283.
Hennig‐Thurau, T., Ravid, S. A., & Sorenson, O. (2021). The economics of filmed entertainment in the digital era. Journal of Cultural Economics, 45, 157–170.
- Hennig‐Thurau, T., Wiertz, C., & Feldhaus, F. (2015). Does Twitter matter? The impact of microblogging word of mouth on consumers' adoption of new movies. Journal of the Academy of Marketing Science, 43, 375–394.
Paper not yet in RePEc: Add citation now
Hermosilla, M., Gutierrez‐Navratil, F., & Prieto‐Rodriguez, J. (2018). Can emerging markets tilt global product design? Impacts of Chinese colorism on Hollywood castings. Marketing Science, 37(3), 356–381.
Herz, B., & Kiljański, K. (2018). Movie piracy and displaced sales in Europe: Evidence from six countries. Information Economics and Policy, 43, 12–22.
- Hill, J., & Kawashima, N. (2016). Introduction: Film policy in a globalised cultural economy. International Journal of Cultural Policy, 22, 667–672.
Paper not yet in RePEc: Add citation now
- Hill, J., & Kawashima, N. (Eds.). (2018). Film policy in a globalised cultural economy. Routledge.
Paper not yet in RePEc: Add citation now
Hiller, R. S. (2017). Profitably bundling information goods: Evidence from the evolving video library of Netflix. Journal of Media Economics, 30, 65–81.
Ho, J. Y., Dhar, T., & Weinberg, C. B. (2009). Playoff payoff: Super bowl advertising for movies. International Journal of Research in Marketing, 26, 168–179.
- Ho, J. Y., Liang, Y. S., Weinberg, C. B., & Yan, J. (2018). An empirical study of uniform and differential pricing in the movie theatrical market. Journal of Marketing Research, 55, 414–431.
Paper not yet in RePEc: Add citation now
- Ho, J., & Weinberg, C. B. (2011). Segmenting consumers of pirated movies. Journal of Consumer Marketing, 28, 252–260.
Paper not yet in RePEc: Add citation now
- Ho, J., Ho, K., & Mortimer, J. H. (2012a). Analyzing the welfare impacts of full‐line forcing contracts. The Journal of Industrial Economics, 60, 468–498.
Paper not yet in RePEc: Add citation now
- Ho, K., Ho, J., & Mortimer, J. H. (2012b). The use of full‐line forcing contracts in the video rental industry. American Economic Review, 102, 686–719.
Paper not yet in RePEc: Add citation now
Hofmann‐Stölting, C., Clement, M., Wu, S., & Albers, S. (2017). Sales forecasting of new entertainment media products. Journal of Media Economics, 30, 143–171.
Hofmann, J., Clement, M., VÖlckner, F., & Hennig‐Thurau, T. (2017). Empirical generalizations on the impact of stars on the economic success of movies. International Journal of Research in Marketing, 34, 442–461.
- Hofmann, K. H. (2013). Co‐financing Hollywood film productions with outside investors. Springer Fachmedien Wiesbaden.
Paper not yet in RePEc: Add citation now
Hofmann, K. H., & Opitz, C. (2019). Talent and publicity as determinants of superstar incomes: Empirical evidence from the motion picture industry. Applied Economics, 51, 1383–1395.
Holloway, I. R. (2014). Foreign entry, quality, and cultural distance: Product‐level evidence from US movie exports. Review of World Economics, 150, 371–392.
Holloway, I. R. (2017). Learning via sequential market entry: Evidence from international releases of U.S. movies. Journal of International Economics, 104, 104–121.
Hon, L. Y., & Yen, R. L. S. (2018). At the movies: Some stylized facts on investment returns and consumption patterns. International Journal of Business and Economics, 17, 123–142.
Hong, J., & Sun, Y. (2012). Warm it up with love: The effect of physical coldness on liking of romance movies. Journal of Consumer Research, 39, 293–306.
- Houston, M. B., Kupfer, A.‐K., Hennig‐Thurau, T., & Spann, M. (2018). Pre‐release consumer buzz. Journal of the Academy of Marketing Science, 46, 338–360.
Paper not yet in RePEc: Add citation now
- Hsieh, J. K., Hsieh, Y. C., & Tang, Y. C. (2012). Exploring the disseminating behaviors of eWOM marketing: Persuasion in online video. Electronic Commerce Research, 12, 201–224.
Paper not yet in RePEc: Add citation now
Hsu, G., Negro, G., & Perretti, F. (2012). Hybrids in Hollywood: A study of the production and performance of genre‐spanning films. Industrial and Corporate Change, 21, 1427–1450.
Hsu, Y. L., & Jane, W. J. (2016). Bidirectional causality for word of mouth and the movie box office: An empirical investigation of panel data. Journal of Media Economics, 29, 139–152.
- Hu, Y. H., Shiau, W. M., Shih, S. P., & Chen, C. J. (2018). Considering online consumer reviews to predict movie box‐office performance between the years 2009 and 2014 in the US. Electronic Library, 36, 1010–1026.
Paper not yet in RePEc: Add citation now
- Huang, D., Markovitch, D. G., & Strijnev, A. (2015). Exploring the small movie profitability puzzle. Marketing Letters, 26, 43–55.
Paper not yet in RePEc: Add citation now
- Huang, D., Strijnev, A., & Ratchford, B. (2015). Role of advertising and consumer interest in the motion picture industry. Review of Marketing Science, 13, 1–40.
Paper not yet in RePEc: Add citation now
- Huang, J., Boh, W. F., & Goh, K. H. (2017). A temporal study of the effects of online opinions: Information sources matter. Journal of Management Information Systems, 34, 1169–1202.
Paper not yet in RePEc: Add citation now
- Hur, M., Kang, P., & Cho, S. (2016). Box‐office forecasting based on sentiments of movie reviews and independent subspace method. Information Sciences, 372, 608–624.
Paper not yet in RePEc: Add citation now
- Hwang, Y., Kim, K., Kwon, O., Moon, I., Shin, G., Ham, J., & Park, J. (2017). Analyzing box‐office hit factors using big data: Focusing on Korean films for the last 5 years. Journal of Information and Communication Convergence Engineering, 15, 217–226.
Paper not yet in RePEc: Add citation now
Hwangbo, H., & Kim, J. (2019). A text mining approach for sustainable performance in the film industry. Sustainability, 11, 3207.
Ioannou, I., Mortimer, J. H., & Mortimer, R. (2011). The effects of capacity on sales under alternative vertical contracts. The Journal of Industrial Economics, 59, 117–154.
- Irandoust, M. (2018). The demand for cinema in Sweden: An application of proportional odds model. Journal of Arts Management Law and Society, 48, 351–361.
Paper not yet in RePEc: Add citation now
Izquierdo‐Sanchez, S., Elliott, C., & Simmons, R. (2016). Substitution between leisure activities: A quasi‐natural experiment using sports viewing and cinema attendance. Applied Economics, 48, 3848–3860.
- Jane, W.‐J. (2020). Cultural distance in international films: An empirical investigation of a sample selection model. Journal of Economics and Business, 105945.
Paper not yet in RePEc: Add citation now
Jane, W.‐J., Chen, W.‐P., & Hsu, Y.‐L. (2015). The impact of deregulation on the movie box office after Taiwan's entry into the WTO: The difference‐in‐differences estimation. Eurasian Business Review, 5, 289–308.
Jansen, C. (2005). The performance of German motion pictures, profits and subsidies: Some empirical evidence. Journal of Cultural Economics, 29(3), 191–212.
Jensen, M., & Kim, H. (2015). The real Oscar curse: The negative consequences of positive status shifts. Organization Science, 26, 1–21.
- Jensen, M., & Kim, H. (2020). Reaching for the stars: The importance of reputational rank in creative career development. Poetics, 80, 101396.
Paper not yet in RePEc: Add citation now
- Jha, A. K., & Rajan, P. (2021). Movie piracy: Displacement and its impact on legitimate sales in India. The Journal of World Intellectual Property, 24, 237–252.
Paper not yet in RePEc: Add citation now
John, K., Ravid, S. A., & Sunder, J. (2017). Managerial ability and success: Evidence from the career paths of film directors. Journal of Corporate Finance, 44, 425–439.
Joo, M., Wilbur, K. C., Cowgill, B., & Zhu, Y. (2014). Television advertising and online search. Management Science, 60, 56–73.
Joshi, A. (2015). Movie stars and the volatility of movie revenues. Journal of Media Economics, 28, 246–267.
Joshi, A. M., & Hanssens, D. M. (2009). Movie advertising and the stock market valuation of studios: A case of “great expectations?”. Marketing Science, 28, 239–250.
- Joshi, A., & Mao, H. (2012). Adapting to succeed? Leveraging the brand equity of best sellers to succeed at the box office. Journal of the Academy of Marketing Science, 40, 558–571.
Paper not yet in RePEc: Add citation now
Jourdan, J., & Kivleniece, I. (2017). Too much of a good thing? The dual effect of public sponsorship on organizational performance. Academy of Management Journal, 60, 55–77.
Jung, S.‐C., & Kim, M. H. (2010). Does the star power matter? Applied Economics Letters, 17, 1037–1041.
- Kaimann, D. (2020). Ancillary market signalling: A two‐stage model of economic reputation on ancillary market success. Applied Economics Letters, 27, 1366–1370.
Paper not yet in RePEc: Add citation now
- Karaca‐Mandic, P. (2011). Role of complementarities in technology adoption: The case of DVD players. Quantitative Marketing and Economics, 9, 179–210.
Paper not yet in RePEc: Add citation now
- Karniouchina, E. V. (2011a). Are virtual markets efficient predictors of new product success? The case of the Hollywood stock exchange. Journal of Product Innovation Management, 28, 470–484.
Paper not yet in RePEc: Add citation now
Karniouchina, E. V. (2011b). Impact of star and movie buzz on motion picture distribution and box office revenue. International Journal of Research in Marketing, 28, 62–74.
- Karniouchina, E. V., Uslay, C., & Erenburg, G. (2011). Do marketing media have life cycles? The case of product placement in movies. Journal of Marketing, 75, 27–48.
Paper not yet in RePEc: Add citation now
- Karray, S., & Debernitz, L. (2017). The effectiveness of movie trailer advertising. International Journal of Advertising, 36, 368–392.
Paper not yet in RePEc: Add citation now
- Kent, R. J., & Schweidel, D. A. (2011). Introducing the Ad ECG. Journal of Advertising Research, 51, 586–593.
Paper not yet in RePEc: Add citation now
Kim, D. H., & Kim, S. (2018). A comparative study: Performance of Hollywood and Korean sequel films in Korea. Journal of Media Economics, 31(1–2), 36–49.
- Kim, D., Kim, D., Hwang, E., & Choi, H.‐G. (2013a). A user opinion and metadata mining scheme for predicting box office performance of movies in the social network environment. New Review of Hypermedia and Multimedia, 19, 259–272.
Paper not yet in RePEc: Add citation now
- Kim, H. (2020). Do online searches influence sales or merely predict them? The case of motion pictures. European Journal of Marketing, 55, 337–362.
Paper not yet in RePEc: Add citation now
Kim, H., & Bruce, N. I. (2018). Should sequels differ from original movies in pre‐launch advertising schedule? Lessons from consumers' online search activity. International Journal of Research in Marketing, 35, 116–143.
Kim, H., & Hanssens, D. M. (2017). Advertising and word‐of‐mouth effects on pre‐launch consumer interest and initial sales of experience products. Journal of Interactive Marketing, 37, 57–74.
- Kim, H., & Jensen, M. (2014). Audience heterogeneity and the effectiveness of market signals: How to overcome liabilities of foreignness in film exports? Academy of Management Journal, 57, 1360–1384.
Paper not yet in RePEc: Add citation now
Kim, I. K. (2021). The impact of social distancing on box‐office revenue: Evidence from the COVID‐19 pandemic. Quantitative Marketing and Economics, 19, 93–125.
- Kim, K., Yoon, S., & Choi, Y. K. (2019). The effects of eWOM volume and valence on product sales‐an empirical examination of the movie industry. International Journal of Advertising, 38, 471–488.
Paper not yet in RePEc: Add citation now
Kim, M. H. (2013). Determinants of revenues in the motion picture industry. Applied Economics Letters, 20, 1071–1075.
Kim, S. (2009). Cinema demand in Korea. Journal of Media Economics, 22, 36–56.
Kim, S. H., Park, N., & Park, S. H. (2013b). Exploring the effects of online word of mouth and expert reviews on theatrical movies' box office success. Journal of Media Economics, 26, 98–114.
Kim, T., Hong, J., & Kang, P. (2015). Box office forecasting using machine learning algorithms based on SNS data. International Journal of Forecasting, 31, 364–390.
- Kim, T., Hong, J., & Kang, P. (2017). Box office forecasting considering competitive environment and word‐of‐mouth in social networks: A case study of Korean film market. Computational Intelligence and Neuroscience, 2017, 4315419.
Paper not yet in RePEc: Add citation now
- Kim, Y., Kang, M., & Jeong, S. R. (2018). Text mining and sentiment analysis for predicting box office success. KSII Transactions on Internet and Information Systems, 12(8), 4090–4102.
Paper not yet in RePEc: Add citation now
King, A. S., & King, J. T. (2017). Depth versus breadth in video rental kiosks. Applied Economics Letters, 24, 623–626.
- King, A. S., King, J. T., & Reksulak, M. (2017). Signaling for access to high‐demand markets: Evidence from the US motion picture industry. Journal of Cultural Economics, 41, 441–465.
Paper not yet in RePEc: Add citation now
Knapp, A. K., & Hennig‐Thurau, T. (2015). Does 3D make sense for Hollywood? The economic implications of adding a third dimension to hedonic media products. Journal of Media Economics, 28, 100–118.
- Knapp, A.‐K., Hennig‐Thurau, T., & Mathys, J. (2014). The importance of reciprocal spillover effects for the valuation of bestseller brands: Introducing and testing a contingency model. Journal of the Academy of Marketing Science, 42, 205–221.
Paper not yet in RePEc: Add citation now
Knox, G., & Eliashberg, J. (2009). The consumer's rent vs. buy decision in the rentailer. International Journal of Research in Marketing, 26, 125–135.
Koschat, M. A. (2012). The impact of movie reviews on box office: Media portfolios and the intermediation of genre. Journal of Media Economics, 25, 35–53.
Koschmann, A., & Bowman, D. (2017). Simultaneous estimation of legal and illegal supply and demand: The case of motion pictures. International Economic Journal, 31, 555–577.
- Kostovska, I., Raats, T., & Donders, K. (2020). The rise of the ‘Netflix tax’ and what it means for sustaining European audiovisual markets. Innovation: The European Journal of Social Science Research, 33(4), 423–441.
Paper not yet in RePEc: Add citation now
- Krider, R. E., & Weinberg, C. B. (1998). Competitive dynamics and the introduction of new products: The motion picture timing game. Journal of Marketing Research, 35(1), 1–15.
Paper not yet in RePEc: Add citation now
Kübler, R., Seifert, R., & Kandziora, M. (2021). Content valuation strategies for digital subscription platforms. Journal of Cultural Economics, 45, 295–326.
- Kumar, A., Smith, M. D., & Telang, R. (2014). Information discovery and the long tail of motion picture content. MIS Quarterly: Management Information Systems, 38, 1057–1078.
Paper not yet in RePEc: Add citation now
Kumb, F., Kunz, R., & Siegert, G. (2017). Research on the motion picture industry: State of the art and new directions off the beaten track away from theatrical release. Journal of Economic Surveys, 31, 577–601.
- Kupfer, A. K., Holte, N. P. V. D., Kübler, R. V., & Hennig‐Thurau, T. (2018). The role of the partner brand's social media power in brand alliances. Journal of Marketing, 82, 25–44.
Paper not yet in RePEc: Add citation now
- Lampe, R., & McRae, S. (2021). Self‐regulation vs state regulation: Evidence from cinema age restrictions. International Journal of Industrial Organization, 75, 102708.
Paper not yet in RePEc: Add citation now
Lampe, R., & Pancs, R. (2020). Mean reversion in investment decisions: The case of Hollywood. Journal of Industrial Economics, 68, 156–190.
- Lang, D. M., Switzer, D. M., & Swartz, B. J. (2011). DVD sales and the R‐rating puzzle. Journal of Cultural Economics, 35, 267–286.
Paper not yet in RePEc: Add citation now
- Lash, M. T., & Zhao, K. (2016). Early predictions of movie success: The who, what, and when of profitability. Journal of Management Information Systems, 33, 874–903.
Paper not yet in RePEc: Add citation now
Lawton, R. N., Fujiwara, D., & Hotopp, U. (2022). The value of digital archive film history: Willingness to pay for film online heritage archival access. Journal of Cultural Economics, 46, 165–197.
- Lee, C., Xu, X., & Lin, C.‐C. (2019). Using online user‐generated reviews to predict offline box‐office sales and online DVD store sales in the O2O era. Journal of Theoretical and Applied Electronic Commerce Research, 14, 68–83.
Paper not yet in RePEc: Add citation now
- Lee, J. H., Jung, S. H., & Park, J. H. (2017). The role of entropy of review text sentiments on online WOM and movie box office sales. Electronic Commerce Research and Applications, 22, 42–52.
Paper not yet in RePEc: Add citation now
- Lee, K. J., & Chang, W. (2009). Bayesian belief network for box‐office performance: A case study on Korean movies. Expert Systems with Applications, 36, 280–291.
Paper not yet in RePEc: Add citation now
Lee, K., Park, J., Kim, I., & Choi, Y. (2018). Predicting movie success with machine learning techniques: Ways to improve accuracy. Information Systems Frontiers, 20, 577–588.
- Lee, S. H., Lee, L. S., & Hwang, H. S. (2017). Does social opinion influence movie ticket revenues?: A case study. Advanced Science Letters, 23, 1627–1630.
Paper not yet in RePEc: Add citation now
Lee, S. Y., Kim, E.‐M., & Jun, S. H. (2009). On the exportability of Korean movies. Review of Development Economics, 13, 28–38.
- Lee, S., & Choeh, J. Y. (2018). The interactive impact of online word‐of‐mouth and review helpfulness on box office revenue. Management Decision, 56, 849–866.
Paper not yet in RePEc: Add citation now
- Lee, S., Bikash, K., & Choeh, J. Y. (2020). Comparing performance of ensemble methods in predicting movie box office revenue. Heliyon, 6, e04260.
Paper not yet in RePEc: Add citation now
Lee, Y. J., Keeling, K. B., & Urbaczewski, A. (2019). The economic value of online user reviews with ad spending on movie box‐office sales. Information Systems Frontiers, 21, 829–844.
- Lee, Y., Kim, S.‐H., & Cha, K. C. (2012). A generalized bass model for predicting the sales patterns of motion pictures having seasonality and herd behavior. Journal of Global Scholars of Marketing Science, 22, 310–326.
Paper not yet in RePEc: Add citation now
Leenders, M. A., & Eliashberg, J. (2011). The antecedents and consequences of restrictive age‐based ratings in the global motion picture industry. International Journal of Research in Marketing, 28, 367–377.
Legoux, R., Larocque, D., Laporte, S., Belmati, S., & Boquet, T. (2016). The effect of critical reviews on exhibitors' decisions: Do reviews affect the survival of a movie on screen? International Journal of Research in Marketing, 33, 357–374.
Lehrer, S., & Xie, T. (2017). Box office buzz: Does social media data steal the show from model uncertainty when forecasting for Hollywood? Review of Economics and Statistics, 99, 749–755.
- Lepori, G. M. (2015). Positive mood and investment decisions: Evidence from comedy movie attendance in the U.S. Research in International Business and Finance, 34, 142–163.
Paper not yet in RePEc: Add citation now
Leung, T. C., Qi, S., & Yuan, J. (2020). Movie industry demand and theater availability. Review of Industrial Organization, 56(3), 489–513.
Liao, Y., Peng, Y., Shi, S., Shi, V., & Yu, X. (2022). Early box office prediction in China's film market based on a stacking fusion model. Annals of Operations Research, 308, 321–338.
Liebowitz, S. J., & Zentner, A. (2012). Clash of the titans: Does internet use reduce television viewing? Review of Economics and Statistics, 94, 234–245.
- Lim, J., & Li, T. (2018). The optimal advertising‐allocation rules for sequentially released products: The case of the motion picture industry. Journal of Advertising Research, 58, 228–239.
Paper not yet in RePEc: Add citation now
- Lindner, A. M., Lindquist, M., & Arnold, J. (2015). Million dollar maybe? The effect of female presence in movies on box office returns. Sociological Inquiry, 85, 407–428.
Paper not yet in RePEc: Add citation now
- Litman, B. R. (1983). Predicting success of theatrical movies: An empirical study. Journal of Popular Culture, 16(4), 159–175.
Paper not yet in RePEc: Add citation now
Liu, A., Liu, Y., & Mazumdar, T. (2014). Star power in the eye of the beholder: A study of the influence of stars in the movie industry. Marketing Letters, 25, 385–396.
Liu, A., Mazumdar, T., & Li, B. (2015). Counterfactual decomposition of movie star effects with star selection. Management Science, 61, 1704–1721.
- Liu, D., & Courty, P. (2021). Some economics of movie exhibition: increasing returns and Imax revenue premium. Journal of Cultural Economics, https://doi.org/10.1007/s10824‐021‐09425‐4.
Paper not yet in RePEc: Add citation now
- Liu, T., Ding, X., Chen, Y., Chen, H., & Guo, M. (2016). Predicting movie box‐office revenues by exploiting large‐scale social media content. Multimedia Tools and Applications, 75, 1509–1528.
Paper not yet in RePEc: Add citation now
- Liu, X., Shi, S. W., Teixeira, T., & Wedel, M. (2018). Video content marketing: The making of clips. Journal of Marketing, 82, 86–101.
Paper not yet in RePEc: Add citation now
Liu, Y., & Xie, T. (2019). Machine learning versus econometrics: Prediction of box office. Applied Economics Letters, 26, 124–130.
- Lobato, R. (2018). Rethinking international TV flows research in the age of Netflix. Television and New Media, 19, 241–256.
Paper not yet in RePEc: Add citation now
- Lovallo, D., Clarke, C., & Camerer, C. (2012). Robust analogizing and the outside view: Two empirical tests of case‐based decision making. Strategic Management Journal, 33, 496–512.
Paper not yet in RePEc: Add citation now
Lu, S., Wang, X., & Bendle, N. (2020). Does piracy create online word of mouth? an empirical analysis in the movie industry. Management Science, 66(5), 2140–2162.
Lu, W., & Xing, R. (2019). Research on movie box office prediction model with conjoint analysis. International Journal of Information Systems and Supply Chain Management, 12, 72–84.
- Luan, Y. J., & Sudhir, K. (2010). Forecasting marketing‐mix responsiveness for new products. Journal of Marketing Research, 47, 444–457.
Paper not yet in RePEc: Add citation now
- Lüdering, J. (2018). Standing and ‘survival’ in the adult film industry. Applied Economics, 50, 1812–1823.
Paper not yet in RePEc: Add citation now
Luo, H. (2014). When to sell your idea: Theory and evidence from the movie industry. Management Science, 60, 3067–3086.
- Luo, L., Chen, X., Han, J., & Park, C. W. (2010). Dilution and enhancement of celebrity brands through sequential movie releases. Journal of Marketing Research, 47, 1114–1128.
Paper not yet in RePEc: Add citation now
- Ma, H., Kim, J. M., & Lee, E. (2019). Analyzing dynamic review manipulation and its impact on movie box office revenue. Electronic Commerce Research and Applications, 35, 100840.
Paper not yet in RePEc: Add citation now
- Ma, J., Huang, D., Kumar, M. V. S., & Strijnev, A. (2014a). The impact of supplier bargaining power on the advertising costs of movie sequels. Journal of Cultural Economics, 39, 43–64.
Paper not yet in RePEc: Add citation now
- Ma, J., Huang, D., Markovitch, D. G., & Ratchford, B. (2018). High or low season?Contrasting launch timing considerations for big‐budget and low‐budget entertainment products. European Journal of Marketing, 52, 1956–1980.
Paper not yet in RePEc: Add citation now
Ma, L., Montgomery, A. L., Singh, P. V., & Smith, M. D. (2014b). An empirical analysis of the impact of pre‐release movie piracy on box office revenue. Information Systems Research, 25, 590–603.
- Mabry, E., & Porter, L. (2010). Movies and Myspace. Journal of Interactive Advertising, 10, 1–15.
Paper not yet in RePEc: Add citation now
Malhotra, N., & Helmer, E. (2012). Inflation in weekend box office estimates. Applied Economics Letters, 19, 1411–1415.
Mannor, M. J., Shamsie, J., & Conlon, D. E. (2016). Does experience help or hinder top managers? Working with different types of resources in Hollywood. Strategic Management Journal, 37, 1330–1340.
Marshall, P., Dockendorff, M., & Ibáñez, S. (2013). A forecasting system for movie attendance. Journal of Business Research, 66, 1800–1806.
Marvasti, A., & Canterbery, E. R. (2005). Cultural and other barriers to motion pictures trade. Economic Inquiry, 43(1), 39–54.
Mathys, J., Burmester, A. B., & Clement, M. (2016). What drives the market popularity of celebrities? A longitudinal analysis of consumer interest in film stars. International Journal of Research in Marketing, 33, 428–448.
McKenzie, J. (2010). How do theatrical box office revenues affect DVD retail sales? Australian empirical evidence. Journal of Cultural Economics, 34, 159–179.
McKenzie, J. (2012). The economics of movies: A literature survey. Journal of Economic Surveys, 26, 42–70.
McKenzie, J. (2013). Predicting box office with and without markets: Do internet users know anything? Information Economics and Policy, 25, 70–80.
McKenzie, J. (2017). Graduated response policies to digital piracy: Do they increase box office revenues of movies? Information Economics and Policy, 38, 1–11.
McKenzie, J., & Smirnov, V. (2018). Blockbusters and market expansion: Evidence from the motion picture industry. Journal of Cultural Economics, 42, 341–352.
McKenzie, J., & Walls, W. D. (2013). Australian films at the Australian box office: Performance, distribution, and subsidies. Journal of Cultural Economics, 37, 247–269.
McKenzie, J., & Walls, W. D. (2016). File sharing and film revenues: Estimates of sales displacement at the box office. B.E. Journal of Economic Analysis and Policy, 16, 25–57.
- McKenzie, J., Crosby, P., Cox, J., & Collins, A. (2019). Experimental evidence on demand for “on‐demand” entertainment. Journal of Economic Behavior and Organization, 161, 98–113.
Paper not yet in RePEc: Add citation now
- McKenzie, J., Rossiter, C., & Shin, S. Y. (2020). For love or money? Assessing outcomes from direct public investment in film. International Journal of Cultural Policy, 26(4), 459–475.
Paper not yet in RePEc: Add citation now
Meloni, G., Paolini, D., & Pulina, M. (2015). The great beauty: Public subsidies in the Italian movie industry. Italian Economic Journal, 1, 445–455.
- Messerlin, P., & Parc, J. (2014). The effect of screen quotas and subsidy regime on cultural industry: A case study of French and Korean film industries. Journal of International Business and Economy, 15, 57–73.
Paper not yet in RePEc: Add citation now
- Messerlin, P., & Parc, J. (2017). The real impact of subsidies on the film industry (1970s‐present): Lessons from France and Korea. Pacific Affairs, 90, 51–75.
Paper not yet in RePEc: Add citation now
Mestyán, M., Yasseri, T., & Kertész, J. (2013). Early prediction of movie box office success based on Wikipedia activity big data. PLoS ONE, 8, e71226.
- Milkman, K. L., Rogers, T., & Bazerman, M. H. (2009). Highbrow films gather dust: Time‐inconsistent preferences and online DVD rentals. Management Science, 55, 1047–1059.
Paper not yet in RePEc: Add citation now
Mitchell, H., & Stewart, M. F. (2012). Movies and holidays: The empirical relationship between movies and tourism. Applied Economics Letters, 19, 1437–1440.
Mohanty, S., Clements, N., & Gupta, V. (2018). Investigating the effect of ewom in movie box office success through an aspect‐based approach. International Journal of Business Analytics, 5, 1–15.
Moon, S., & Song, R. (2015). The roles of cultural elements in international retailing of cultural products: An application to the motion picture industry. Journal of Retailing, 91, 154–170.
Moon, S., Bayus, B. L., Yi, Y., & Kim, J. (2015). Local consumers' reception of imported and domestic movies in the Korean movie market. Journal of Cultural Economics, 39, 99–121.
- Moon, S., Bergey, P. K., & Lacobucci, D. (2010). Dynamic effects among movie ratings, movie revenues and viewer satisfaction. Journal of Marketing, 74, 108–121.
Paper not yet in RePEc: Add citation now
- Moon, S., Mishra, A., Mishra, H., & Kang, M. Y. (2016). Cultural and economic impacts on global cultural products: Evidence from U.S. movies. Journal of International Marketing, 24, 78–97.
Paper not yet in RePEc: Add citation now
Moretti, E. (2011). Social learning and peer effects in consumption: Evidence from movie sales. Review of Economic Studies, 78, 356–393.
Mortimer, J. H. (2007). Price discrimination, copyright law, and technological innovation: Evidence from the introduction of DVDs. The Quarterly Journal of Economics, 122(3), 1307–1350.
Mortimer, J. H. (2008). Vertical contracts in the video rental industry. The Review of Economic Studies, 75(1), 165–199.
- Mukherjee, A., & Kadiyali, V. (2011). Modeling multichannel home video demand in the U.S. motion picture industry. Journal of Marketing Research, 48, 985–995.
Paper not yet in RePEc: Add citation now
Mukherjee, A., & Kadiyali, V. (2018). The competitive dynamics of new DVD releases. Management Science, 64, 3536–3553.
Mulligan, J. G., & Wedzielewski, D. J. (2012). Government intervention to prevent bankruptcy: The effect of blind‐bidding laws on movie theaters. Economic Inquiry, 50, 1000–1017.
- Murschetz, P. C., Teichmann, R., & Karmasin, M. (Eds.). (2018). Handbook of state aid for film. Springer International Publishing.
Paper not yet in RePEc: Add citation now
- Nagy, J., & Midha, A. (2014). The value of earned audiences: How social interactions amplify TV impact. Journal of Advertising Research, 54, 448–453.
Paper not yet in RePEc: Add citation now
Nam, S., Manchanda, P., & Pradeep, P. K. (2010). The effect of signal quality and contiguous word of mouth on customer acquisition for a video‐on‐demand service. Marketing Science, 29, 690–700.
Narayan, V., & Kadiyali, V. (2016). Repeated interactions and improved outcomes: An empirical analysis of movie production in the United States. Management Science, 62, 591–607.
- Natarajan, V. A., Saiharsha, K., & Kumar, M. S. (2019). Box‐office revenue estimation for Telugu movie industry using predictive analytic techniques. International Journal of Recent Technology and Engineering, 2277–3878.
Paper not yet in RePEc: Add citation now
Natividad, G. (2013). Financial slack, strategy, and competition in movie distribution. Organization Science, 24, 846–864.
Nelson, R. A., & Glotfelty, R. (2012). Movie stars and box office revenues: An empirical analysis. Journal of Cultural Economics, 36, 141–166.
Nemzer, L. R., & Neymotin, F. (2020). How words matter: Machine learning and movie success. Applied Economics Letters, 27, 1272–1276.
Nishida, M., & Gil, R. (2014). Regulation, enforcement, and entry: Evidence from the Spanish local TV industry. International Journal of Industrial Organization, 32, 11–23.
Nishijima, M., da Justa, T., & Souza, T. (2020). The effects of broadband on the consumption film at theatres in Brazil. Applied Economics Letters, 27, 637–641.
- Oh, C., Roumani, Y., Nwankpa, J. K., & Hu, H. F. (2017). Beyond likes and tweets: Consumer engagement behavior and movie box office in social media. Information and Management, 54, 25–37.
Paper not yet in RePEc: Add citation now
Opitz, C., & Hofmann, K. H. (2016). The more you know the more you enjoy? Applying ‘consumption capital theory’ to motion picture franchises. Journal of Media Economics, 29, 181–195.
Orbach, B. Y., & Einav, L. (2007). Uniform prices for differentiated goods: The case of the movie‐theater industry. International Review of Law and Economics, 27(2), 129–153.
Orhun, A. Y., Venkataraman, S., & Chintagunta, P. K. (2016). Impact of competition on product decisions: Movie choices of exhibitors. Marketing Science, 35, 73–92.
- Orme, T. (2014). The short‐ and long‐term effectiveness of anti‐piracy laws and enforcement actions. Journal of Cultural Economics, 38, 351–368.
Paper not yet in RePEc: Add citation now
- Orme, T., & Vogel, H. L. (2020). Is the motion‐pictures industry recession proof? International Advances in Economic Research, 26, 363–375.
Paper not yet in RePEc: Add citation now
- Özmen, M. U. (2018). Cross‐country variation in the share of national movies in total box office revenue. Journal of Media Economics, 31, 117–132.
Paper not yet in RePEc: Add citation now
Packard, G., Aribarg, A., Eliashberg, J., & Foutz, N. Z. (2016). The role of network embeddedness in film success. International Journal of Research in Marketing, 33, 328–342.
Palia, D., Ravid, S. A., & Reisel, N. (2008). Choosing to cofinance: Analysis of project‐specific alliances in the movie industry. The Review of Financial Studies, 21(2), 483–511.
Palomba, A. (2020). Consumer personality and lifestyles at the box office and beyond: How demographics, lifestyles and personalities predict movie consumption. Journal of Retailing and Consumer Services, 55, 102083.
Palsson, C., Price, J., & Shores, J. (2013). Ratings and revenues: Evidence from movie ratings. Contemporary Economic Policy, 31, 13–21.
- Pan, R. K., & Sinha, S. (2010). The statistical laws of popularity: Universal properties of the box‐office dynamics of motion pictures. New Journal of Physics, 12, 115004.
Paper not yet in RePEc: Add citation now
- Pangarker, N. A., & Smit, E. (2013). The determinants of box office performance in the film industry revisited. South African Journal of Business Management, 44, 47–58.
Paper not yet in RePEc: Add citation now
- Parc, J., & Messerlin, P. (2018). In search of an effective trade policy for the film industry: Lessons from Korea. Journal of World Trade, 52, 745–764.
Paper not yet in RePEc: Add citation now
- Pardo, A., & Sánchez‐Tabernero, A. (2012). Effects of market concentration in theatrical distribution: The case of the big five western European countries. International Journal on Media Management, 14, 51–71.
Paper not yet in RePEc: Add citation now
Park, S. (2015). Changing patterns of foreign movie imports, tastes, and consumption in Australia. Journal of Cultural Economics, 39, 85–98.
- Park, S., & Kim, T. (2017). Forecasting audience of motion pictures considering competitive environment. Journal of Theoretical and Applied Information Technology, 95, 4340–4348.
Paper not yet in RePEc: Add citation now
- Park, Y.‐S., & Ham, S. (2016). Spatial analysis of various multiplex cinema types. Frontiers of Architectural Research, 5, 63–73.
Paper not yet in RePEc: Add citation now
- Patil, P. C., & Bisoyi, P. L. (2012). Product placement in movies: A way of brand promotion. International Journal of Research in Finance and Marketing, 2, 217–231.
Paper not yet in RePEc: Add citation now
Paulich, B. J., & Kumar, V. (2021). Relating entertainment features in screenplays to movie performance: An empirical investigation. Journal of the Academy of Marketing Science, 49, 1222–1242.
Peng, F., Kang, L., Anwar, S., & Li, X. (2019). Star power and box office revenues: Evidence from china. Journal of Cultural Economics, 43, 247–278.
Peress, M., & Spirling, A. (2010). Scaling the critics: Uncovering the latent dimensions of movie criticism with an item response approach. Journal of the American Statistical Association, 105, 71–83.
- Petrin, A., & Train, K. (2010). A control function approach to endogeneity in consumer choice models. Journal of Marketing Research, 47, 3–13.
Paper not yet in RePEc: Add citation now
Peukert, C., Claussen, J., & Kretschmer, T. (2017). Piracy and box office movie revenues: Evidence from Megaupload. International Journal of Industrial Organization, 52, 188–215.
- Plucker, J. A., Kaufman, J. C., Temple, J. S., & Qian, M. (2009). Do experts and novices evaluate movies the same way? Psychology & Marketing, 26, 470–478.
Paper not yet in RePEc: Add citation now
Pokorny, M., & Sedgwick, J. (2010). Profitability trends in Hollywood, 1929 to 1999: Somebody must know something. Economic History Review, 63, 56–84.
- Pokorny, M., Miskell, P., & Sedgwick, J. (2019). Managing uncertainty in creative industries: Film sequels and Hollywood's profitability, 1988–2015. Competition and Change, 23, 23–46.
Paper not yet in RePEc: Add citation now
- Poort, J., & van Til, G. (2020). The role of territorial licenses and public support schemes in financing European films. International Journal of Cultural Policy, 26(5), 597–616.
Paper not yet in RePEc: Add citation now
- Prag, J., & Casavant, J. (1994). An empirical study of the determinants of revenues and marketing expenditures in the motion picture industry. Journal of Cultural Economics, 18(3), 217–235.
Paper not yet in RePEc: Add citation now
- Prieto‐Rodriguez, J., Gutierrez‐Navratil, F., & Ateca‐Amestoy, V. (2015). Theatre allocation as a distributor's strategic variable over movie runs. Journal of Cultural Economics, 39, 65–83.
Paper not yet in RePEc: Add citation now
- Prince, J., & Greenstein, S. (2017). Measuring consumer preferences for video content provision via cord‐cutting behavior. Journal of Economics and Management Strategy, 26, 293–317.
Paper not yet in RePEc: Add citation now
- Qin, L. (2011). Word‐of‐blog for movies: A predictor and an outcome of box office revenue? Journal of Electronic Commerce Research, 12, 187–198.
Paper not yet in RePEc: Add citation now
- Quinn, M. A. (2009). Movies and the mystery of the missing trade: Is Hollywood Good for U.S. exporters?. International Trade Journal, 23, 231–254.
Paper not yet in RePEc: Add citation now
Rao, V. R., Ravid, S. A. A., Gretz, R. T., Chen, J., & Basuroy, S. (2017). The impact of advertising content on movie revenues. Marketing Letters, 28, 341–355.
Ravid, S. A. (1999). Information, blockbusters, and stars: A study of the film industry. Journal of Business, 72, 463–492.
- Ravid, S. A., & Basuroy, S. (2004). Managerial objectives, the R‐rating puzzle, and the production of violent films. Journal of Business, 77, S155–S192.
Paper not yet in RePEc: Add citation now
Redondo, I., & Holbrook, M. B. (2010). Modeling the appeal of movie features to demographic segments of theatrical demand. Journal of Cultural Economics, 34, 299–315.
Reinstein, D. A., & Snyder, C. M. (2005). The influence of expert reviews on consumer demand for experience goods: A case study of movie critics. The Journal of Industrial Economics, 53(1), 27–51.
- Rennhoff, A. D., & Wilbur, K. C. (2011). The effectiveness of post‐release movie advertising. International Journal of Advertising, 30, 305–328.
Paper not yet in RePEc: Add citation now
Roos, J. M., & Shachar, R. (2014). When kerry met sally: Politics and perceptions in the demand for movies. Management Science, 60, 1617–1631.
- Rossman, G., Esparza, N., & Bonacich, P. (2010). I'd like to thank the academy, team spillovers, and network centrality. American Sociological Review, 75, 31–51.
Paper not yet in RePEc: Add citation now
- Ru, Y., Li, B., Liu, J., & Chai, J. (2018). An effective daily box office prediction model based on deep neural networks. Cognitive Systems Research, 52, 182–191.
Paper not yet in RePEc: Add citation now
- Rui, H., Liu, Y., & Whinston, A. (2013). Whose and what chatter matters? The effect of tweets on movie sales. Decision Support Systems, 55, 863–870.
Paper not yet in RePEc: Add citation now
- Sacco, P. L., & Teti, E. (2020). Maintaining content innovation in an industry with unpredictable returns: A portfolio approach to movie production. Economics of Innovation and New Technology, 30, 767–785.
Paper not yet in RePEc: Add citation now
Schauerte, R., Feiereisen, S., & Malter, A. J. (2021). What does it take to survive in a digital world? Resource‐based theory and strategic change in the TV industry. Journal of Cultural Economics, 45, 263–293.
- Schoenmueller, V., Netzer, O., & Stahl, F. (2020). The polarity of online reviews: Prevalence, drivers and implications. Journal of Marketing Research, 57, 853–877.
Paper not yet in RePEc: Add citation now
- Schweidel, D. A., & Kent, R. J. (2010). Predictors of the gap between program and commercial audiences: An investigation using live tuning data. Journal of Marketing, 74, 18–33.
Paper not yet in RePEc: Add citation now
Sedgwick, J., Pokorny, M., & Miskell, P. (2014). Hollywood in the world market—evidence from Australia in the mid‐1930s. Business History, 56, 689–723.
Seiler, S., Yao, S., & Wang, W. (2017). Does online word of mouth increase demand? (and how?) Evidence from a natural experiment. Marketing Science, 36, 838–861.
Shamsie, J., Martin, X., & Miller, D. (2009). In with the old, in with the new: Capabilities, strategies, and performance among the Hollywood studios. Strategic Management Journal, 30, 1440–1452.
Shin, S. Y., & McKenzie, J. (2019). Asymmetric cultural discounting and pattern of trade in cultural products: Empirical evidence in motion pictures. The World Economy, 42, 3350–3367.
- Shin, V. K. W., & Chiu, S. W. K. (2016). Global distribution networks, local exhibition alliances: Hollywood's new map in Hong Kong. Regional Studies, 50, 835–847.
Paper not yet in RePEc: Add citation now
Shon, J.‐H., Kim, Y.‐G., & Yim, S.‐J. (2014). Classifying movies based on audience perceptions: MTI framework and box office performance. Journal of Media Economics, 27, 79–106.
- Simonton, D. K. (2009). Cinematic success criteria and their predictors: The art and business of the film industry. Psychology & Marketing, 26, 400–420.
Paper not yet in RePEc: Add citation now
- Sinha, A., Gu, H., Kim, N., & Emile, R. (2019). Signaling effects and the role of culture: Movies in international auxiliary channels. European Journal of Marketing, 53, 2146–2172.
Paper not yet in RePEc: Add citation now
Sisto, A., & Zanola, R. (2010). Cinema attendance in Europe. Applied Economics Letters, 17, 515–517.
- Siva, A., Reddy, S., Kasat, P., & Jain, A. (2012). Box‐office opening prediction of movies based on hype analysis through data mining. International Journal of Computer Applications, 56, 975–8887.
Paper not yet in RePEc: Add citation now
Skilton, P. F. (2009). Knowledge based resources, property based resources and supplier bargaining power in Hollywood motion picture projects. Journal of Business Research, 62, 834–840.
Smith, A. D. (2011). Shrinking‐release window movie releases: Potential impacts on best business practices. International Journal of Services and Operations Management, 8, 1–26.
- Smith, M. D., & Telang, R. (2009). Competing with free: The impact of movie broadcasts on DVD sales and internet piracy. MIS Quarterly: Management Information Systems, 33, 321–338.
Paper not yet in RePEc: Add citation now
Smith, M. D., Telang, R., & Zhang, Y. (2019). I want you back: The interplay between legal availability and movie piracy. International Journal of the Economics of Business, 26, 199–216.
- Somlo, B., Rajaram, K., & Ahmadi, R. (2011). Distribution planning to optimize profits in the motion picture industry. Production and Operations Management, 20, 618–636.
Paper not yet in RePEc: Add citation now
- Song, J., & Han, S. (2013). Predicting gross box office revenue for domestic films. Communications for Statistical Applications and Methods, 20, 301–309.
Paper not yet in RePEc: Add citation now
- Song, K., Kim, H., Lee, J., & Kim, Y. G. (2018). Dissecting movie performance across multiple distribution channels: An elastic justification theory perspective. Telematics and Informatics, 35, 159–167.
Paper not yet in RePEc: Add citation now
Song, R., Jang, S., & Cai, G. G. (2016). Does advertising indicate product quality? Evidence from prelaunch and postlaunch advertising in the movie industry. Marketing Letters, 27, 791–804.
- Song, R., Meyer, J., & Ha, K. (2015). The relationship between product placement and the performance of movies: Can brand promotion in films help or hurt moviegoers' experience? Journal of Advertising Research, 55, 322–338.
Paper not yet in RePEc: Add citation now
- Song, R., Moon, S., Chen, H. A., & Houston, M. B. (2017). When marketing strategy meets culture: The role of culture in product evaluations. Journal of the Academy of Marketing Science, 46(3), 384–402.
Paper not yet in RePEc: Add citation now
Souza, T. L., Nishijima, M., & Fava, A. C. (2019). Do consumer and expert reviews affect the length of time a film is kept on screens in the USA? Journal of Cultural Economics, 43, 145–171.
- Squire, J. E. (2017). The movie business book (4th ed.). Routledge.
Paper not yet in RePEc: Add citation now
Stephens‐Davidowitz, S., Varian, H., & Smith, M. D. (2017). Super returns to super bowl ads? Quantitative Marketing and Economics, 15, 1–28.
- Su, W. (2014). Cultural policy and film industry as negotiation of power: The Chinese state's role and strategies in its engagement with global Hollywood. Pacific Affairs, 87, 93–114.
Paper not yet in RePEc: Add citation now
- Suárez‐Vázquez, A. (2011). Critic power or star power? The influence of hallmarks of quality of motion pictures: An experimental approach. Journal of Cultural Economics, 35, 119–135.
Paper not yet in RePEc: Add citation now
- Suárez‐Vázquez, A., & Montañés‐Roces, E. (2017). Superstars power, mining the paths to stars' persuasion. Computational Economics, 49, 67–81.
Paper not yet in RePEc: Add citation now
- Sumod, S. D., Premkumar, P., Jeesha, K., & Chowdhury, S. C. (2021). Is there a method to madness? Predicting success of Bollywood movies. The Journal of Prediction Markets, 15, 31–52.
Paper not yet in RePEc: Add citation now
Swami, S., Eliashberg, J., & Weinberg, C. B. (1999). SilverScreener: A modeling approach to movie screens management. Marketing Science, 18(3), 352–372.
Tan, T. F., Netessine, S., & Hitt, L. (2017). Is Tom Cruise threatened? An empirical study of the impact of product variety on demand concentration. Information Systems Research, 28, 643–660.
Tang, Y., Yan, J., & Yu, F. (2018). Multi‐product firms, heterogeneous quality and exporting behaviour: Product‐level evidence from the movie industry. Applied Economics, 50, 5920–5934.
Telang, R., & Waldfogel, J. (2018). Piracy and new product creation: A Bollywood story. Information Economics and Policy, 43, 1–11.
- Terry, N., Cooley, J. W., & Zachary, M. (2010). The determinants of foreign box office revenue for English language movies. Journal of International Business and Cultural Studies, 2, https://www.aabri.com/manuscripts/09274.pdf.
Paper not yet in RePEc: Add citation now
- Terry, N., Mitchell, L., Morgan, A., & Owens, J. (2016). The determinants of box office revenue for movie sequels. Southwestern Economic Review, 43, 53–71.
Paper not yet in RePEc: Add citation now
Teti, E., Collins, A., & Sedgwick, J. (2014). An offer they couldn't refuse (but probably should have): The ineffectiveness of Italian state subsidies to movie‐making. Public Money and Management, 34, 181–188.
Thrane, C. (2018). Do expert reviews affect the decision to see motion pictures in movie theatres? An experimental approach. Applied Economics, 50, 3066–3075.
- Toubia, O., Iyengar, G., Bunnell, R., & Lemaire, A. (2019). Extracting features of entertainment products: A guided latent Dirichlet allocation approach informed by the psychology of media consumption. Journal of Marketing Research, 56, 18–36.
Paper not yet in RePEc: Add citation now
Train, K. (2015). Welfare calculations in discrete choice models when anticipated and experienced attributes differ: A guide with examples. Journal of Choice Modelling, 16, 15–22.
Treme, J. (2010). Effects of celebrity media exposure on box‐office performance. Journal of Media Economics, 23, 5–16.
Treme, J., & Craig, L. A. (2013). Celebrity star power: Do age and gender effects influence box office performance? Applied Economics Letters, 20, 440–445.
Treme, J., & VanDerPloeg, Z. (2014). The Twitter effect: Social media usage as a contributor to movie success. Economics Bulletin, 43, 793–809.
- Tsao, W. C. (2014). Which type of online review is more persuasive? The influence of consumer reviews and critic ratings on moviegoers. Electronic Commerce Research, 14, 559–583.
Paper not yet in RePEc: Add citation now
- Tyrowicz, J., Krawczyk, M., & Hardy, W. (2020). Friends or foes? A meta‐analysis of the relationship between “online piracy” and the sales of cultural goods. Information Economics and Policy, 53, 100879.
Paper not yet in RePEc: Add citation now
Vázquez‐Maguirre, M., & Hartmann, A. M. (2013). Nonmarket strategies of media enterprises in the Mexican television industry. Journal of Business Research, 66, 1743–1749.
- Ventura, M., Saulo, H., Leiva, V., & Monsueto, S. (2019). Log‐symmetric regression models: Information criteria and application to movie business and industry data with economic implications. Applied Stochastic Models in Business and Industry, 35, 963–977.
Paper not yet in RePEc: Add citation now
- Vogel, H. (2020). Entertainment industry economics: A guide for financial analysis (10th ed.). Cambridge University Press.
Paper not yet in RePEc: Add citation now
- von Rimscha, M. B. (2012). It's not the economy, stupid! External effects on the supply and demand of cinema entertainment. Journal of Cultural Economics, 37, 433–455.
Paper not yet in RePEc: Add citation now
Vujić, S., & Zhang, X. (2018). Does Twitter chatter matter? Online reviews and box office revenues. Applied Economics, 50, 3702–3717.
Waguespack, D. M., & Sorenson, O. (2011). The ratings game: Asymmetry in classification. Organization Science, 22, 541–553.
Waldfogel, J. (2009). Lost on the web: Does web distribution stimulate or depress television viewing? Information Economics and Policy, 21, 158–168.
Waldfogel, J. (2016). Cinematic explosion: New products, unpredictabilty and realized quality in the digital era. Journal of Industrial Economics, 64, 755–772.
Waldfogel, J. (2017). How digitization has created a golden age of music, movies, books, and television. Journal of Economic Perspectives, 31, 195–214.
Wallentin, E. (2016). Demand for cinema and diverging tastes of critics and audiences. Journal of Retailing and Consumer Services, 33, 72–81.
- Wallisch, P., & Whritner, J. A. (2017). Strikingly low agreement in the appraisal of motion pictures. Projections, 11, 102–120.
Paper not yet in RePEc: Add citation now
Walls, W. D. (2009a). Robust analysis of movie earnings. Journal of Media Economics, 22, 20–35.
Walls, W. D. (2009b). Screen wars, star wars, and sequels. Empirical Economics, 37, 447–461.
- Walls, W. D. (2010a). General stable models of the rate of return to Hollywood films. Advances and Applications in Statistical Sciences, 2, 19–36.
Paper not yet in RePEc: Add citation now
Walls, W. D. (2010b). Superstars and heavy tails in recorded entertainment: Empirical analysis of the market for DVDs. Journal of Cultural Economics, 34, 261–279.
- Walls, W. D. (2014). Bestsellers and blockbusters: Movies, music, and books. In Handbook of the economics of art and culture, (Vol. 2, pp. 185–213). Elsevier B.V.
Paper not yet in RePEc: Add citation now
- Walls, W. D. (2018). Motion pictures, economics of. In The new palgrave dictionary of economics (pp. 9164–9170). Palgrave Macmillan.
Paper not yet in RePEc: Add citation now
- Walls, W. D., & Harvey, P. (2018). A simple method to value anti‐piracy technology in the recorded entertainment industries. International Journal of Management and Applied Science, 4, 70–74.
Paper not yet in RePEc: Add citation now
Walls, W. D., & McKenzie, J. (2012). The changing role of Hollywood in the global movie market. Journal of Media Economics, 25, 198–219.
Walls, W. D., & McKenzie, J. (2020). Black swan models for the entertainment industry with an application to the movie business. Empirical Economics, 59, 20–35.
- Wang, F., Zhang, Y., Li, X., & Zhu, H. (2010). Why do moviegoers go to the theater? The role of prerelease media publicity and online word of mouth in driving moviegoing behavior. Journal of Interactive Advertising, 11, 50–62.
Paper not yet in RePEc: Add citation now
- Wang, H., & Guo, K. (2017). The impact of online reviews on exhibitor behaviour: Evidence from movie industry. Enterprise Information Systems, 11, 1518–1534.
Paper not yet in RePEc: Add citation now
- Wang, X., Pan, H. R., Zhu, N., & Cai, S. (2020). East Asian films in the European market: The roles of cultural distance and cultural specificity. International Marketing Review, 38, 717–735.
Paper not yet in RePEc: Add citation now
- Wang, Y., Ru, Y., & Chai, J. (2019). Time series clustering based on sparse subspace clustering algorithm and its application to daily box‐office data analysis. Neural Computing and Applications, 31, 4809–4818.
Paper not yet in RePEc: Add citation now
- Wang, Z., Zhang, J., Ji, S., Meng, C., Li, T., & Zheng, Y. (2020). Predicting and ranking box office revenue of movies based on big data. Information Fusion, 60, 25–40.
Paper not yet in RePEc: Add citation now
Wasserman, M., Mukherjee, S., Scott, K., Zeng, X. H. T., Radicchi, F., & Amaral, L. A. (2015). Correlations between user voting data, budget, and box office for films in the internet movie database. Journal of the Association for Information Science and Technology, 66, 858–868.
- Wayne, M. L. (2018). Netflix, Amazon, and branded television content in subscription video on‐demand portals. Media, Culture and Society, 40, 725–741.
Paper not yet in RePEc: Add citation now
Wei, Y. M. (2020). The similarity network of motion pictures. Management Science, 66(4), 1647–1671.
Weinberg, C. B., Otten, C., Orbach, B., McKenzie, J., Gil, R., Chisholm, D. C., & Basuroy, S. (2021). Technological change and managerial challenges in the movie theater industry. Journal of Cultural Economics, 45(2), 239–262.
Wilbur, K. C., Xu, L., & Kempe, D. (2013). Correcting audience externalities in television advertising. Marketing Science, 32, 892–912.
- Wiles, M. A., & Danielova, A. (2009). The worth of product placement in successful films: An event study analysis. Journal of Marketing, 73, 44–63.
Paper not yet in RePEc: Add citation now
- Wirtz, B. W., Mermann, M., & Daiser, P. (2016). Competencies and success of motion picture actors: A resource‐based and competence‐based empirical analysis. Journal of Media Practice, 17, 98–116.
Paper not yet in RePEc: Add citation now
Wiśniewska, A., Budziński, W., & Czajkowski, M. (2020). An economic valuation of access to cultural institutions: Museums, theatres, and cinemas. Journal of Cultural Economics, 44, 563–587.
- Wühr, P., Lange, B. P., & Schwarz, S. (2017). Tears or fears? Comparing gender stereotypes about movie preferences to actual preferences. Frontiers in Psychology, 8, 428.
Paper not yet in RePEc: Add citation now
- Xiao, J., Li, X., Chen, S., Zhao, X., & Xu, M. (2017). An inside look into the complexity of box‐office revenue prediction in China. International Journal of Distributed Sensor Networks, 13(1), 155014771668484. https://doi.org/10.1177/1550147716684842.
Paper not yet in RePEc: Add citation now
Xu, X., & Fu, W. W. (2014). Aggregate bandwagon effects of popularity information on audiences' movie selections. Journal of Media Economics, 27, 215–233.
- Yahav, I. (2016). Network analysis: Understanding consumers' choice in the film industry and predicting pre‐released weekly box‐office revenue. Applied Stochastic Models in Business and Industry, 32, 409–422.
Paper not yet in RePEc: Add citation now
Yamamura, E. (2009). Rethinking rational addictive behaviour and demand for cinema: A study using Japanese panel data. Applied Economics Letters, 16, 693–697.
Yan, J., & Yu, F. (2021). Can international coproduction promote the performance of cultural products in the global markets? Evidence from the Chinese movie industry. Review of World Economics, 157, 777–798.
Yang, J., & Kim, W. (2014). Seasonality in the non‐U.S. motion picture industry: A case of South Korea. Journal of Media Economics, 27, 38–55.
- Yecies, B. (2016). The Chinese–Korean co‐production pact: Collaborative encounters and the accelerating expansion of Chinese cinema. International Journal of Cultural Policy, 22, 770–786.
Paper not yet in RePEc: Add citation now
- Yeh, S.‐Y. (2013). When do original movies dominate sequels? The moderating effects of film types and product knowledge. Asia Pacific Management Review, 18, 239–255.
Paper not yet in RePEc: Add citation now
Yeo, J. (2017). The weekend effect in television viewership and prime‐time scheduling. Review of Industrial Organization, 51, 315–341.
- Yeung, C. H., Cimini, G., & Jin, C. H. (2011). Dynamics of movie competition and popularity spreading in recommender systems. Physical Review E ‐ Statistical, Nonlinear, and Soft Matter Physics, 83, 16105.
Paper not yet in RePEc: Add citation now
- Yoon, Y., Polpanumas, C., & Park, Y. J. (2017). The impact of word of mouth via twitter on moviegoers' decisions and film revenues: Revisiting prospect theory: How WOM about movies drives loss‐aversion and reference‐dependence behaviors. Journal of Advertising Research, 57, 144–158.
Paper not yet in RePEc: Add citation now
- Yudelson, J. (2011). It's not just who you know but how well you know them: The impact of trust and relational networks in movie deal‐making. International Journal of Business and Social Science, 2, 10–24.
Paper not yet in RePEc: Add citation now
Zentner, A., Smith, M., & Kaya, C. (2013). How video rental patterns change as consumers move online. Management Science, 59, 2622–2634.
- Zhang, L., Luo, J., & Yang, S. (2009). Forecasting box office revenue of movies with BP neural network. Expert Systems with Applications, 36, 6580–6587.
Paper not yet in RePEc: Add citation now
Zhang, Q., Wang, W., & Chen, Y. (2020). Frontiers: In‐consumption social listening with moment‐to‐moment unstructured data: The case of movie appreciation and live comments. Marketing Science, 39, 285–295.
- Zhang, X.‐J., Tang, Y., Xiong, J., Wang, W.‐J., & Zhang, Y.‐C. (2019). How network topologies impact project alliance performance: Evidence from the movie industry. Entropy, 21, 859.
Paper not yet in RePEc: Add citation now
Zhang, X., Hou, G., & Dong, W. (2017). Modelling movie attendance with seasonality: Evidence from China. Applied Economics Letters, 24, 1351–1357.
- Zhou, X. (2020). Boosting China's film production: An assessment of the subsidies for China's ‘mainstream films'. Global Policy, 11, 56–64.
Paper not yet in RePEc: Add citation now
- Zhou, Y., Zhang, L., & Yi, Z. (2019). Predicting movie box‐office revenues using deep neural networks. Neural Computing and Applications, 31, 1855–1865.
Paper not yet in RePEc: Add citation now
- Zhuang, W., Babin, B., Xiao, Q., & Paun, M. (2014). The influence of movie's quality on its performance: Evidence based on Oscar awards. Managing Service Quality, 24, 122–138.
Paper not yet in RePEc: Add citation now
- Zimbra, D., Sarangee, K. R., & Jindal, R. P. (2017). Movie aspects, tweet metrics, and movie revenues: The influence of iOS vs. Android. Decision Support Systems, 102, 98–109.
Paper not yet in RePEc: Add citation now